building real-time analytics apps with hana

Building Real-Time

Analytics Apps with HANA

Why SAP HANA Now?

‘Large’ Data

Columnar Databases

Moore’s Law

Inflection Point?

What is SAP HANA?

An Appliance?

A Database / RDBMS?

A Platform?

Answer – All of the Above

SAP HANATM - Preconfigured Appliance

Software + Hardware

IBM and others…

In-Memory Computing Engine Software

Data Modeling and Data Management

Real-time Data Replication Data Services for SAP

SAP Business Suite, SAP BW and 3rd Party Systems

Capabilities Enabled

Analyze information in real-time at unprecedented speeds on large volumes of non-aggregated data

Create flexible analytic models based on real-time and historic business data

Foundation for new category of applications (e.g., planning, simulation) to significantly outperform current

applications in category

Minimizes data duplication

12

In-Memory

Row and Column Store Compression Partitioning

In-Database Computing No Aggregate Tables Real-Time Replication

Insert Only on Delta

Column = Fast Queries

5 – 20x

Analyze Large Data Sets

Complex Computations

Flexible Modeling

No Data Duplication

Fast Data Loads

How does it work

Getting Stuff into HANA

Sybase Replication Server (SRS)

• Database Table Replication i.e. near real-time (10 secs)

• Originally envisaged to be dominant

• DB2 Unicode Only

• No Compressed Tables

• No license support for Oracle/MSSQL

• Support for 1 ERP

Data Services 4.0 (DS)

• Extract, Transform & Load (ETL)

• Allows use of ERP Business Content Extractors

• Non-real-time (10 mins)

• Almost any data source

System Landscape Transformation (SLT)

• Technology from Test Data Migration Server (TDMS)

• Application-server trigger-based replication

• Avoids Oracle/MSSQL license problems

• Near real-time

SLT – A Bit More Detail

or

Getting Stuff Out of HANA

Today - SAP HANA 1.0 SP02

• Financial Services

Hedge fund trading analysis

Real-time systematic risk management and reporting based on market trading exposure

• Consumer Products Goods

Supplier Risk Management

Inventory Recall Reconciliation Product trace

Product Lifecycle and Cost management

EPA standards compliance

On-Shelf Availability Analysis

Real-time Warranty and defect analysis

• Manufacturing

Manufacturing Production and Maintenance

Analytics

Real-time Asset Utilization Analytics

• Oil & Gas

Operations Performance Management

Business Transformation

Oil Well Performance Analysis

Supply Chain Network Visibility

Spend Performance Analysis

• Retail

Store Operations

Point-of-Sales Retail Sales Analytics

Load Balance Optimization

Real-time completive multi-channel pricing

Product damage, returns and spoilage

These are All Custom-Built Scenarios and require a business case

Today - SAP HANA RDS

• RDS exists to replicate CO-PA to HANA

• Includes Data Replication (SLT)

Transformations (SAP HANA Studio)

Sample Reports (BI4)

Building a Business Case

HANA represents a significant investment Appliance:

Hardware

Software Licenses

Services Installation

Configuration: SAP or Partner Services

SAP & Partners provide Value Engineering Services Will a point solution provide ‘Proof of Value’?

Where is the process benefit?

Can business process change?

Who is impacted?

SAP HANA Demo

SAP HANA Demo

SAP HANA Studio

Modeling: SAP HANA Studio:

Creating Attribute View


Defining Attributes


Data Preview


Creating Hierarchies


Creating Analytic View

SAP HANA Studio:

Administration Console

Questions?

For more information

IBM-SAP Alliance Web Site www.ibm-sap.com/hana

Partnerworld

www.ibm.com/partnerworld/sap

Bluefin Web Site www.bluefinsolutions.com

Bluefin Insights

www.bluefinsolutions.com/insights/

http://www.ibm-sap.com/hana



http://www.ibm.com/partnerworld/sap







Thank You

Appendices

• SAP HANA 1.0 SP03 (BW on HANA)

• SAP HANA Apps

• SAP HANA Beyond 2012

• Scale Out for SAP HANA

Appendix 1

SAP HANA 1.0 SP03

BW on HANA

SAP HANA 1.0 SP03

(AKA BW on HANA)

Appendix 2

SAP HANA Apps

H1 2012: SAP HANA Apps

• Strategic workforce planning (out now)

• Sales and operations planning (due Q3)

• Cash and liquidity management (due Q3)

• Trade promo management (due Q4)

• Smart meter analysis (due Q4)

• Profitability engine (due Q4)

• Customer revenue performance management (due Q4)

• Merchandising and assortment management (due Q4)

• Energy management for utility customers (due Q4)

• Customer-specific pricing (due Q4)

• Intelligent Payment Broker (Q4)

• SAP traditionally sells to industry

• SAP HANA 1.0 is a platform

• SAP HANA Apps are business content built on SAP HANA 1.0

SAP HANA Apps: SWP

Appendix 3

SAP HANA Beyond 2012

SAP HANA: Beyond 2012

Platform Consolidation

All applications (ERP and BW) run on data residing in-memory

Analytics and operations work on data in real time

In-memory computing executes all transactions, transformations, and complex data processing

Real Time Data Feed (2012/2013?)

Applications write data simultaneously to traditional databases as well as the in-memory computing

Appendix 4

Scale Out for SAP HANA

(AKA BW on HANA)

node01

GPFS

•replication server •SAP HANA studio

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD

SAP HANA DB

Primary dataset data01 log01

Currently only single server

configurations available

What about

growth and HA ?

Scale out for SAP HANA

node01

GPFS

node02


- SAP HANA DB

backup master

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD

SAP HANA DB SAP HANA DB

1st replica

Primary dataset

DB partition 2

IBM configurations delivered with GPFS

shared file system for seamless growth


node02 node01

GPFS

node03


- SAP HANA DB

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD


DB partition 2 DB partition 3

- SAP HANA DB

backup master

HDD SSD

Primary dataset

IBM configurations delivered with GPFS

shared file system for seamless growth

Currently 4 node

cluster certified

( 4x 256GB &

4x 512GB )

1st replica


node03 node02 node01

GPFS

node04


- SAP HANA DB

standy node

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD


DB partition 2 DB partition

- SAP HANA DB

backup master

HDD SSD

- SAP HANA DB

DB partition 3

HDD SSD

1st replica

Primary dataset

x

Introduce Standy nodes into cluster – initially

no specific identity and no persistent data

Outlook – HA for SAP HANA

(under validation)

SAP HANA DB handles the failover to the hot-

standby node in case of a node failure.

node03 node02 node01

GPFS

node04


- SAP HANA DB

GPFS

HDD SSD

data01 log01

- SAP HANA DB

master node

DB partition 1

HDD SSD


DB partition 2 DB partition

- SAP HANA DB

backup master

HDD SSD

- SAP HANA DB

HDD SSD

1st replica

primary dataset

x DB partition 3

Apply

Re-Do Log

Recover DB

partition 3 data

Outlook – HA for SAP HANA

(under validation)

building real-time analytics apps with hana

Documents